A framework to bridge scales in distribution modelling of soil microbiota.
A framework to bridge scales in distribution modelling of soil microbiota.
复制标题
土壤微生物群分布建模中的桥梁尺度框架。
DOI：
10.1093/femsec/fiaa051
复制
发表时间：
2020
影响因子：
4.2
通讯作者：
Erik Verbruggen
中科院分区：
文献类型：
--
作者：
J. Lembrechts;L. Broeders;J. Gruyter;D. Radujković;I. Ramirez;Jonathan Lenoir;Erik Verbruggen
为土壤微生物群建立准确的栖息地适宜性和分布模型（HSDM）比地上生物群更具挑战性。在这篇透视论文中，我们提出了一个概念框架，解决了几个阻碍进一步应用的关键问题。最重要的是，我们解决了传统上使用的环境变量的大规模长期平均值与土壤微生物群本身所经历的环境之间的不匹配。我们建议使用嵌套抽样设计跨环境梯度和客观地整合空间层次异质性作为协变量在HSDM。其次，为了将类群共生作为土壤微生物分布的驱动因素的关键作用，我们推广使用联合物种分布模型，这是一类联合分析多个物种分布的模型，量化物种特定的环境响应（即环境生态位）和物种之间的协方差（即生物相互作用）。我们的方法允许将环境生态位及其相关的分布在多个空间尺度。拟议的框架有利于列入土壤生物和它们的非生物和生物环境分布模型，这是至关重要的，以提高预测土壤微生物再分布的全球变化的结果之间的真实关系。
Creating accurate habitat suitability and distribution models (HSDMs) for soil microbiota is far more challenging than for aboveground organism groups. In this perspective paper, we propose a conceptual framework that addresses several of the critical issues holding back further applications. Most importantly, we tackle the mismatch between the broad-scale, long-term averages of environmental variables traditionally used, and the environment as experienced by soil microbiota themselves. We suggest using nested sampling designs across environmental gradients and objectively integrating spatially hierarchic heterogeneity as covariates in HSDMs. Secondly, to incorporate the crucial role of taxa co-occurrence as driver of soil microbial distributions, we promote the use of joint species distribution models, a class of models that jointly analyze multiple species' distributions, quantifying both species-specific environmental responses (i.e. the environmental niche) and covariance among species (i.e. biotic interactions). Our approach allows incorporating the environmental niche and its associated distribution across multiple spatial scales. The proposed framework facilitates the inclusion of the true relationships between soil organisms and their abiotic and biotic environment in distribution models, which is crucial to improve predictions of soil microbial redistributions as a result of global change.
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影响因子：
6.6
作者：
Halbritter, Aud H.;De Boeck, Hans J.;Zurba, Kamal
通讯作者：
Zurba, Kamal
影响因子：
64.8
作者：
Gaudelli NM;Komor AC;Rees HA;Packer MS;Badran AH;Bryson DI;Liu DR
通讯作者：
Liu DR
影响因子：
3.7
作者：
Birkhofer K;Schöning I;Alt F;Herold N;Klarner B;Maraun M;Marhan S;Oelmann Y;Wubet T;Yurkov A;Begerow D;Berner D;Buscot F;Daniel R;Diekötter T;Ehnes RB;Erdmann G;Fischer C;Foesel B;Groh J;Gutknecht J;Kandeler E;Lang C;Lohaus G;Meyer A;Nacke H;Näther A;Overmann J;Polle A;Pollierer MM;Scheu S;Schloter M;Schulze ED;Schulze W;Weinert J;Weisser WW;Wolters V;Schrumpf M
通讯作者：
Schrumpf M
影响因子：
4.2
作者：
Cleary, David W.;Bishop, Alistair H.;Gaze, William H.
通讯作者：
Gaze, William H.